Apply now: Data Analyst, location is Onsite 4 days/week in Houston, TX. The start date is ASAP for this contract through end of year position with potential extension or conversion.
Job Title: Data Analyst
Location-Type: Onsite 4 days/week in Houston, TX
Start Date Is: ASAP
Duration: Contract through end of year, with potential extension or conversion
Compensation Range: $54-57/hr
Benefits: Eligible for Health, Dental, Vision, 401K
Not eligible for Visa sponsorship
Job Description:
The Data Analyst supports enterprise data initiatives through data analysis, mapping, lineage documentation, and metadata management across modern data platforms.
Day-to-Day Responsibilities:
- Create and maintain source-to-target mapping documents for enterprise data assets
- Document data flows, lineage, relationships, and dependencies across systems
- Use SQL in Snowflake to analyze datasets for completeness, quality, and business understanding
- Validate data transformations and downstream reporting against documented mappings
- Publish and maintain metadata, glossary terms, and data definitions in Atlan
- Partner with business stakeholders, data engineers, and architects to align documentation with data models
- Support governance, audit readiness, and self-service data discovery through accurate metadata
- Contribute to standards and best practices for data documentation and metadata management
Requirements:
Must-Haves:- Bachelor's degree in Analytics, Information Systems, Computer Science, or a related field
- Strong SQL skills with hands-on experience querying Snowflake
- Experience creating data mapping documents, lineage, and technical data documentation
- Familiarity with metadata management and data catalog concepts
- Strong analytical, documentation, and communication skills
Nice-to-Haves:- Experience with Atlan or similar tools such as Collibra or Alation
- Experience working with ELT pipelines and Snowflake data warehouses
- Familiarity with data governance, data quality, or observability practices
- Exposure to AWS-based data ecosystems
- Experience supporting enterprise or ERP-driven data platforms
- Experience in ETRM and FP&A modeling for Power and Gas
